Development and Evaluation of Electronic Medical Record Admission Module in Intensive Care Unit: A Case Study in Iran

Document Type : Original Article

Authors

1 MSc in Health Information Technology, Student Research Committee, School of Health Management and Information Sciences, Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

2 Department of Health Information Management, School of Health Management and Information Sciences, Health Human Resources Research Center, Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

3 Trauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

4 Department of English, Shiraz University of Medical Sciences, Shiraz, Iran

5 Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

6 Department of Health Information Management, School of Health Management and Information Sciences, Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Introduction: Electronic medical record leads to effective information management. One of
the most important sections of electronic medical records is the patient admission module.
The aim of this study was to develop and evaluate the patient admission module in Intensive
Care Unit.
Methods: This developmental-applied study was conducted in 2021 in 3 steps: 1. Determining
the requirements, 2. Designing, developing, and implementing, and 3. Evaluating usability.
In the first step, we did the literature review and asked for the expert panel’s opinion; in the
second step, we used word, and Reactjs, Expressjs programming language, and Mongodb
database and Windows server; in the third step, the USE standard questionnaire was used.
Results: Module requirements were classified into two categories: functional and nonfunctional
requirements. Functional requirements address software quality features, and nonfunctional
requirements include general requirements, demographic information, and clinical
information. Demographic information was classified into two main categories: patient’s
demographic information and documented physician information. Clinical information (287
data elements) in 13 main categories included the past history, vital signs, nervous system,
respiratory system, cardiovascular system, genitourinary system, gastrointestinal system,
hematology, integumentary system, infectious, antimicrobial drugs, problem list, and plan.
Also, the results of usability evaluation showed that 87% of the physicians agreed with the
use of this module.
Conclusion: Given the trend towards e-health in Iran, the use of electronic medical record
admission module in intensive care units can have a significant impact on the complete
collection of admission data.

Keywords


1. Ribeiro A, Portela F, Santos M, Abelha A, Machado J, Rua F. Patients’ admissions in intensive care units: a clustering overview. Information. 2017;8(1):23. doi: 10.3390/info8010023.
2. Pickering BW, Dong Y, Ahmed A, Giri J, Kilickaya O, Gupta A, et al. The implementation of clinician designed, human-centered electronic medical record viewer in the intensive care unit: a pilot step-wedge cluster randomized trial. Int J Med Inform. 2015;84(5):299-307. doi: 10.1016/j.ijmedinf.2015.01.017.
3. Ajami S, Ketabi S, Saghaeiannejad S, Heidari A. Requirements and areas associated with readiness assessment of electronic health records implementation. Journal of Health Administration. 2011;14(46):71-8.
4. Shahbahrami A, MOAYED RS, Hafezi M. Effective factors in acceptance of electronic health record from employees point of view. Gums-Med.2016;24(96):50-60.
5. Jamieson T, Ailon J, Chien V, Mourad O. An electronic documentation system improves the quality of admission notes: a randomized trial. J Am Med Inform Assoc. 2017;24(1):123-9. doi: 10.1093/jamia/ocw064.
6. Khammarnia M, Sharifian R, Zand F, Barati O, Keshtkaran A, Sabetian G, et al. The impact of computerized physician order entry on prescription orders: A quasi-experimental study in Iran. Med J Islam Repub Iran. 2017;31:69. doi: 10.14196/mjiri.31.69.
7. Lorenzetti DL, Quan H, Lucyk K, Cunningham C, Hennessy D, Jiang J, et al. Strategies for improving physician documentation in the emergency department: a systematic review. BMC Emerg Med. 2018;18(1):36. doi: 10.1186/s12873-018-0188-z.
8. Despins LA, Wakefield BJ. The Role of the Electronic Medical Record in the Intensive Care Unit Nurse’s Detection of Patient Deterioration: A Qualitative Study. Comput Inform Nurs. 2018;36(6):284-92. doi: 10.1097/CIN.0000000000000431.
9. Garavand A. Survey of possibility deployment of electronic medical record in Shiraz teaching
hospitals. Journal of Health and Biomedical Informatics. 2015;2(1):33-41.
10. Efatmaneshnik M, Shoval S, Qiao L. A standard description of the terms module and modularity for systems engineering. IEEE Transactions on Engineering Management. 2018;67(2):365-75.
11. Virtua Med Student [Internet]. Organize an ICU note america. c2019. [Available from: http://www.virtualmedstudent.com/links/medicalstudent_resources/icu_note.html
12. Farzandipour M, Nabovati E, Zaeimi GH, Khajouei R. Usability Evaluation of Three Admission and Medical Records Subsystems Integrated into Nationwide Hospital Information Systems: Heuristic Evaluation. Acta Inform Med. 2018;26(2):133-8. doi: 10.5455/aim.2018.26.133-138.
13. Baker T, Schell CO, Lugazia E, Blixt J, Mulungu M, Castegren M, et al. Vital Signs Directed Therapy: Improving Care in an Intensive Care Unit in a Low-Income Country. PLoS One. 2015;10(12):e0144801. doi: 10.1371/journal. pone.0144801.
14. Buchanan EM, Crain SE, Cunningham AL, Johnson HR, Stash H, Papadatou-Pastou M, et al. Getting started creating data dictionaries: How to create a shareable data set. Advances in Methods and Practices in Psychological Science. 2021;4(1):2515245920928007. doi: 10.1177/2515245920928007.
15. Bishop P, Hines A, Collins T. The current state of scenario development: an overview of techniques. Foresight. 2007;9. doi: 10.1108/14636680710727516.
16. Vollmar HC, Ostermann T, Redaelli M. Using the scenario method in the context of health and health care--a scoping review. BMC Med Res Methodol. 2015;15:89. doi: 10.1186/s12874-015-0083-1.
17. Lund AM. Measuring usability with the use questionnaire. Usability interface. 2001;8(2):3-6.
18. Fallahnejad E, Niknam F, Nobar RN, Zand F, Sharifian R. Development of minimum data set for electronic documentation of progress note in the general intensive care unit. Frontiers in Health Informatics. 2020;9(1):37. doi: 10.30699/fhi.v9i1.226.
19. Gao M, Kortum P, Oswald F, editors. Psychometric evaluation of the use (usefulness, satisfaction, and ease of use) questionnaire for reliability and validity. Proceedings of the human factors and ergonomics society annual meeting. 2018;62:1414-8. doi: 10.1177/1541931218621322.
20. Macefield R. How to specify the participant group size for usability studies: a practitioner’s guide. Journal of Usability Studies. 2009;5(1):34-45.
21. Hercigonja-Szekeres M, Somek M, Cukljek S, Ilic B, editors. Documenting the Health Care Processes in the Intensive Care Unit. Studies in Health Technology and Informatics. 2014;205:1232.
22. Sadoughi F, Shahi M, Ahmadi M, Davaridolatabadi N. The Comparison of the Minimum Data Set for Elderly Health in Selected Countries. Acta Inform Med. 2015;23(6):393-7. doi: 10.5455/aim.2015.23.393-397.
23. ANZICS [Internet]. APD Data Dictionary for Software Programmers ANZICS CORE - adult patient database. c2020. Available from: https://www.anzics.com.au/
24. Ahmadi M, Mirbagheri E. Designing Data Elements and Minimum Data Set (MDS) for Creating the Registry of Patients with Gestational Diabetes Mellitus. J Med Life. 2019;12(2):160-7. doi: 10.25122/jml-2019-0011.
25. Moeil Tabaghdehi K, Ghazisaeedi M, Shahmoradi L, Karami H, Bashiri A. Designing a minimum data set for major thalassemia patients: towards electronic personal health record. Journal of Community Health Research. 2018;7(1):24-31.
26. Jahanbakhsh M, Safari F, Babaei Z, Jafari M, Heydarian G, Bahrami F, et al. Redesign of the Admission and Discharge Summery Sheet Based on Information Need Assessment in the Educational Hospitals in Isfahan. Journal of Modern Medical Information Sciences. 2016;2(2):10-8.
27. Mwakyusa S, Wamae A, Wasunna A, Were F, Esamai F, Ogutu B, et al. Implementation of a structured paediatric admission record for district hospitals in Kenya--results of a pilot study. BMC Int Health Hum Rights. 2006;6:9. doi: 10.1186/1472-698X-6-9.
28. Goodyear HM, Lloyd BW. Can admission notes be improved by using preprinted assessment sheets? Qual Health Care. 1995;4(3):190-3. doi: 10.1136/qshc.4.3.190.
29. Irtiza-Ali A, Houghton CM, Raghuram A, O’Driscoll BR. Medical admissions can be made easier, quicker and better by the use of a pre-printed Medical Admission Proforma. Clin Med (Lond). 2001;1(4):327. doi: 10.7861/clinmedicine.1-4-327.
30. Khammarnia M, Sharifian R, Zand F, Keshtkaran A, Barati O. Designing Computerized Provider Order Entry Software in Iran: The Nurses’ and Physicians’ Viewpoints. Comput Inform Nurs. 2016;34(9):413-20. doi: 10.1097/CIN.0000000000000250.
31. Dargahi H, Ghazi Saeedi M, Safdari R, Hamedan M. A survey of clinical information system process in general hospitals of Tehran University of Medical Sciences. Payavard Salamat. 2010;4(2):31-43.
32. Kusriyanti D, Matuwi B. Readiness Analysis of Electronic Medical Record Implementation at Dinda Tangerang Hospital Using Correlational Method. European Journal of Business and Management Research. 2021;6(4):19-25. doi: 10.24018/ejbmr.2021.6.4.915.
33. Garavand A. Survey of possibility deployment of electronic medical record in Shiraz teaching hospitals. Journal of Health and Biomedical Informatics. 2015;2(1):33-41.
34. Safdari R, Ghazisaeidi M, Pezeshki A, Mahmoodzadeh B, Nikmaram A. The Introduction of Electronic Medical Records for Chronic Kidney Disease as a Reliable Method for the Diagnosis of the Disease. Journal of Advances in Medical and Biomedical Research. 2016;24(104):112-20.
35. Shahmoradi L, KhoramiMoghadam R, Ghazisaeedi M, Gholamzadeh M. Implementation of Electronic Health Record as a Clinical Information Tool to Improve Gastric Cancer Care. Applied Health Information Technology. 2020;1(1):19-29. doi: 10.18502/ahit.v1i1.5255.
36. Sadoughi F, Khoshkam M, Farahi SR. Usability evaluation of hospital information systems in hospitals affiliated with Mashhad University of Medical Sciences, Iran. Health Information Management. 2012;9(3):310-7.
37. Alanzi T, Istepanian R, Philip N. Design and Usability Evaluation of Social Mobile Diabetes Management System in the Gulf Region. JMIR Res Protoc. 2016;5(3):e93. doi: 10.2196/resprot.4348.
38. Agharezaei Z, Khajouei R, Ahmadian L, Agharezaei L. Usability evaluation of a laboratory information system. Director General. 2013;10(2):1-12.
39. Colleti Junior J, Andrade AB, Carvalho WB. Evaluation of the use of electronic medical record systems in Brazilian intensive care units. Rev Bras Ter Intensiva. 2018;30(3):338-46. doi: 10.5935/0103-507X.20180057.
40. Lin HL, Wu DC, Cheng SM, Chen CJ, Wang MC, Cheng CA. Association between Electronic Medical Records and Healthcare Quality. Medicine (Baltimore). 2020;99(31):e21182. doi: 10.1097/MD.0000000000021182.